Adaptive learning enhancement to automated model maintenance
First Claim
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1. An adaptive learning method for automated maintenance of a neural net model, comprising:
- training a neural net model with an initial set of training data;
storing partial products of the trained model; and
updating the trained model by using the stored partial products and new training data to compute weights for the updated model.
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Abstract
An adaptive learning method for automated maintenance of a neural net model is provided. The neural net model is trained with an initial set of training data. Partial products of the trained model are stored. When new training data are available, the trained model is updated by using the stored partial products and the new training data to compute weights for the updated model.
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21 Claims
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1. An adaptive learning method for automated maintenance of a neural net model, comprising:
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training a neural net model with an initial set of training data;
storing partial products of the trained model; and
updating the trained model by using the stored partial products and new training data to compute weights for the updated model. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21)
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